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Updated: Jun 14, 2025

Visual Detection of Multiple Nucleic Acids in a Capillary Array
Published on: November 15, 2017
Quantitative expression of LNAPL pollutant concentrations in capillary zone by coupling multiple environmental
Kexue Han1, Rui Zuo1, Donghui Xu2
1College of Water Sciences, Beijing Normal University, Beijing 100875, China; Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education, Beijing 100875, China.
This study models light nonaqueous liquid (LNAPL) pollutant concentrations in soil capillary zones. A random forest model accurately predicts LNAPL levels using environmental factors, aiding groundwater contamination assessment.
Area of Science:
- Environmental Science
- Hydrogeology
- Soil Science
Background:
- Light nonaqueous liquids (LNAPLs) are major soil and groundwater organic pollutants.
- Limited research exists on LNAPL concentration distribution in the capillary zone.
- Understanding LNAPL behavior in capillary zones is critical for environmental remediation.
Purpose of the Study:
- To investigate LNAPL concentration distribution in the silty sand capillary zone.
- To develop a quantitative model for LNAPL concentration using environmental factors.
- To assess the accuracy of the developed predictive model.
Main Methods:
- Conducted sandbox-migration experiments with diesel oil as the LNAPL.
- Monitored LNAPL (total petroleum hydrocarbon) concentration and environmental factors (moisture, EC, pH, ORP).
- Utilized a random forest algorithm to build a predictive model using 7744 data points.
Main Results:
- LNAPL concentration and environmental factors showed consistent patterns at similar heights.
- Distinct concentration variations were observed between 10.0-50.0 cm and above 60.0 cm from groundwater.
- The random forest model achieved R² > 0.90 and MAPE < 16.00% for training and test sets.
Conclusions:
- The developed model accurately quantifies and predicts LNAPL concentrations in the capillary zone.
- Environmental factors are key predictors of LNAPL distribution within capillary zones.
- This quantitative approach enhances understanding and management of LNAPL contamination.
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